<pre style='margin:0'>
Ken (kencu) pushed a commit to branch master
in repository macports-ports.

</pre>
<p><a href="https://github.com/macports/macports-ports/commit/665f689aee6ec137116a194c9552d437ad1600fa">https://github.com/macports/macports-ports/commit/665f689aee6ec137116a194c9552d437ad1600fa</a></p>
<pre style="white-space: pre; background: #F8F8F8">The following commit(s) were added to refs/heads/master by this push:
<span style='display:block; white-space:pre;color:#404040;'>     new 665f689aee6 py-umap-learn: Submission
</span>665f689aee6 is described below

<span style='display:block; white-space:pre;color:#808000;'>commit 665f689aee6ec137116a194c9552d437ad1600fa
</span>Author: Steven Thomas Smith <s.t.smith@ieee.org>
AuthorDate: Thu Oct 1 17:17:05 2020 -0400

<span style='display:block; white-space:pre;color:#404040;'>    py-umap-learn: Submission
</span>---
 python/py-umap-learn/Portfile | 39 +++++++++++++++++++++++++++++++++++++++
 1 file changed, 39 insertions(+)

<span style='display:block; white-space:pre;color:#808080;'>diff --git a/python/py-umap-learn/Portfile b/python/py-umap-learn/Portfile
</span>new file mode 100644
<span style='display:block; white-space:pre;color:#808080;'>index 00000000000..07318f05767
</span><span style='display:block; white-space:pre;background:#ffe0e0;'>--- /dev/null
</span><span style='display:block; white-space:pre;background:#e0e0ff;'>+++ b/python/py-umap-learn/Portfile
</span><span style='display:block; white-space:pre;background:#e0e0e0;'>@@ -0,0 +1,39 @@
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+# -*- coding: utf-8; mode: tcl; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- vim:fenc=utf-8:ft=tcl:et:sw=4:ts=4:sts=4
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+PortSystem          1.0
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+PortGroup           python 1.0
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+name                py-umap-learn
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+version             0.4.6
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+platforms           darwin
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+license             BSD
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+maintainers         nomaintainer
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+description         Uniform Manifold Approximation and Projection
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+long_description    Uniform Manifold Approximation and Projection \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    (UMAP) is a dimension reduction technique that can \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    be used for visualisation similarly to t-SNE, but \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    also for general non-linear dimension reduction.
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+homepage            http://github.com/lmcinnes/umap
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+distname            umap-learn-${version}
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+checksums           rmd160  76d75705171bd44c920a20012f7d8bde4a0edd56 \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    sha256  4276da9a039c79fa5b4f8d3515a8ccaaccf11a2f59ce8d15baf9d2015a5e82b3 \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    size    69894
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+python.versions     37 38
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+if {${name} ne ${subport}} {
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+    depends_build-append \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    port:py${python.version}-setuptools
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+    depends_run-append \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    port:py${python.version}-numba \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    port:py${python.version}-numpy \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    port:py${python.version}-scikit-learn \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    port:py${python.version}-scipy
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+    livecheck.type  none
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+}
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